Triple
T5339199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonto National Forest |
E123902
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Canyon Lake |
E391370
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Canyon Lake | Statement: [Tonto National Forest, contains, Canyon Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canyon Lake Context triple: [Tonto National Forest, contains, Canyon Lake]
-
A.
Canyon Lake
Canyon Lake is a small, gated city in Riverside County, California, centered around a private reservoir and known for its recreational lakefront lifestyle.
-
B.
Canyon Lake
chosen
Canyon Lake is a reservoir in central Arizona popular for boating, fishing, and scenic desert canyon views along the Salt River.
-
C.
Lavon Lake
Lavon Lake is a large reservoir in North Texas used for water supply, flood control, and recreation such as boating and fishing.
-
D.
Goldwater Lake
Goldwater Lake is a small recreational reservoir in the mountains near Prescott, Arizona, popular for fishing, kayaking, and lakeside picnicking.
-
E.
Wheeler Lake
Wheeler Lake is a large man-made reservoir in northern Alabama known for its recreational boating, fishing, and role in regional hydroelectric power and navigation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85c8415c819099a0b26e07360f01 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1308a548190b49a8212c3f3f7f0 |
completed | March 23, 2026, 2:10 a.m. |
Created at: March 20, 2026, 2 p.m.